今天带来的是一篇经典论文《Line Graph Neural Networks for Link Prediction》,提出线图在链路预测上的应用。论文发表在TPAMI上,由微软的Lei Cai等人完成。论文在Google Scholar上有200+的引用量,成为事实上的链路预测SOTA模型。 论文概况 论文发表时间是2021年,实际上2020年就投到arXiv上了,从时间上来说,是相当领先...
A 'Communication Graph' is defined as a type of graph in which nodes represent entities like routers or transceiver pairs, and edges represent connections like physical links or interference relationships in communication networks. AI generated definition based on: Computer Communications, 2022 ...
Graph neural networks (GNNs) are one of the fastest growing classes of machine learning models. They are of particular relevance for chemistry and materials science, as they directly work on a graph or structural representation of molecules and materials and therefore have full access to all ...
This article focuses on using graph neural networks for graph classification. It also explores explainability techniques for these models.
文章使用了Attention机制,这种机制广泛应用于NLP领域,图表示学习算法GAT(Graph Attention Networks)的核心思想也是应用attention来度量各个节点的权重。文章参考GAT中的attention思想,但与之不同的是,GAT是针对静态网络,而本文是针对于动态网络,这也是文章的一大亮点。通俗来讲,Attention机制是希望模型将注意力放到对当前任务...
An illustrated guide to Graph neural networks Graph neural network or GNN for short is deep learning (DL) model that is used for graph data. They have become quite hot these last years. Such a trend is not new in the DL field: each year we see the stand out of a new model, that ...
c, A schematic illustration of the partition of the random resistive memory crossbar array, where cells shadowed in blue are the weights of the recursive matrix (passing messages along edges) while those in red are the weights of the input matrix (transforming node input features). d, The ...
The following figure gives a high-level illustration of our model, Graph AdversariaL Networks (GAL). GAL defends node and neighborhood inference attacks via a min-max game between the task decoder (blue) and a simulated worst-case attacker (yellow) on both the embedding (descent) and the attr...
Inferring gene regulatory networks with graph convolutional network based on causal feature reconstruction ArticleOpen access12 September 2024 Introduction The complex functions of a living cell are conducted through the concerted activity of many genes and gene products. Much of the activity of a cell ...
a,dIllustration of the experiment protocol with (a) Ni-NTA anddSA biosensors.b,eThe binding kinetics of different CR3022 (b) and anti-5T4 UdAbs (e) candidates. The starting concentration for each antibody was 300 nM. The data were determined by fitting curves to a global 1:1 binding...